/**
 * @file add_custom.cpp
 *
 * Copyright (C) 2024. Huawei Technologies Co., Ltd. All rights reserved.
 *
 * This program is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
 */
 #include "kernel_operator.h"

 constexpr int32_t TOTAL_LENGTH = 8 * 2048;                            // total length of data
 constexpr int32_t USE_CORE_NUM = 8;                                   // num of core used
 constexpr int32_t BLOCK_LENGTH = TOTAL_LENGTH / USE_CORE_NUM;         // length computed of each core
 constexpr int32_t TILE_NUM = 8;                                       // split data into 8 tiles for each core
 constexpr int32_t BUFFER_NUM = 2;                                     // tensor num for each queue
 constexpr int32_t TILE_LENGTH = BLOCK_LENGTH / TILE_NUM / BUFFER_NUM; // separate to 2 parts, due to double buffer
 
 class KernelAdd {
 public:
     __aicore__ inline KernelAdd() {}
     __aicore__ inline void Init(GM_ADDR x, GM_ADDR y, GM_ADDR z)
     {
         xGm.SetGlobalBuffer((__gm__ half *)x + BLOCK_LENGTH * AscendC::GetBlockIdx(), BLOCK_LENGTH);
         yGm.SetGlobalBuffer((__gm__ half *)y + BLOCK_LENGTH * AscendC::GetBlockIdx(), BLOCK_LENGTH);
         zGm.SetGlobalBuffer((__gm__ half *)z + BLOCK_LENGTH * AscendC::GetBlockIdx(), BLOCK_LENGTH);
         pipe.InitBuffer(inQueueX, BUFFER_NUM, TILE_LENGTH * sizeof(half));
         pipe.InitBuffer(inQueueY, BUFFER_NUM, TILE_LENGTH * sizeof(half));
         pipe.InitBuffer(outQueueZ, BUFFER_NUM, TILE_LENGTH * sizeof(half));
     }
     __aicore__ inline void Process()
     {
         int32_t loopCount = TILE_NUM * BUFFER_NUM;
         for (int32_t i = 0; i < loopCount; i++) {
             CopyIn(i);
             Compute(i);
             CopyOut(i);
         }
     }
 
 private:
     __aicore__ inline void CopyIn(int32_t progress)
     {
         AscendC::LocalTensor<half> xLocal = inQueueX.AllocTensor<half>();
         AscendC::LocalTensor<half> yLocal = inQueueY.AllocTensor<half>();
         AscendC::DataCopy(xLocal, xGm[progress * TILE_LENGTH], TILE_LENGTH);
         AscendC::DataCopy(yLocal, yGm[progress * TILE_LENGTH], TILE_LENGTH);
         inQueueX.EnQue(xLocal);
         inQueueY.EnQue(yLocal);
     }
     __aicore__ inline void Compute(int32_t progress)
     {
         AscendC::LocalTensor<half> xLocal = inQueueX.DeQue<half>();
         AscendC::LocalTensor<half> yLocal = inQueueY.DeQue<half>();
         AscendC::LocalTensor<half> zLocal = outQueueZ.AllocTensor<half>();
         AscendC::Add(zLocal, xLocal, yLocal, TILE_LENGTH);
         outQueueZ.EnQue<half>(zLocal);
         inQueueX.FreeTensor(xLocal);
         inQueueY.FreeTensor(yLocal);
     }
     __aicore__ inline void CopyOut(int32_t progress)
     {
         AscendC::LocalTensor<half> zLocal = outQueueZ.DeQue<half>();
         AscendC::DataCopy(zGm[progress * TILE_LENGTH], zLocal, TILE_LENGTH);
         outQueueZ.FreeTensor(zLocal);
     }
 
 private:
     AscendC::TPipe pipe;
     AscendC::TQue<AscendC::QuePosition::VECIN, BUFFER_NUM> inQueueX, inQueueY;
     AscendC::TQue<AscendC::QuePosition::VECOUT, BUFFER_NUM> outQueueZ;
     AscendC::GlobalTensor<half> xGm;
     AscendC::GlobalTensor<half> yGm;
     AscendC::GlobalTensor<half> zGm;
 };
 
 extern "C" __global__ __aicore__ void add_custom(GM_ADDR x, GM_ADDR y, GM_ADDR z)
 {
     KernelAdd op;
     op.Init(x, y, z);
     op.Process();
 }
 
 